Reproducibility is the standard that separates research from opinion, and it is one of the hardest to meet in practice. A reviewer, a replication team, or an institutional board does not just want the result. They want to be able to follow the path that produced it: what was examined, how it was screened, how the evidence was graded, and when it was all done. If that path cannot be retraced, the result does not count, no matter how good it is.
The problem is that methodology is usually documented after the fact, from memory and scattered notes. By the time someone needs to reproduce the work, the exact corpus, the screening decisions, and the version that was actually used have blurred together. The methodology section becomes a reconstruction, and reconstructions have gaps.
Why generic tools make reproducibility worse
Reaching for a generic AI tool to speed up the work tends to make reproducibility worse, not better. These tools cannot tell you which sources they used, which they ignored, or prove the output was not changed afterward. So the very thing a reviewer needs, a faithful record of the process, is the thing the tool cannot provide. The output may be useful, but it is not reproducible, which in a research context is a serious limitation.
Capture the process while it runs
Bricolage records the methodology as the research happens. It logs what it examined, the path it took, the evidence grading, and the timestamps, and seals each run with a cryptographically signed audit receipt. The record is tamper-evident: change a single entry and the signature breaks, so a reviewer can confirm the process was not altered after the conclusions were drawn.
That turns the methodology section from a reconstruction into an export. The provenance log, the sources used and set aside, and the confidence scoring are all captured during the work, and they can be handed to a reviewer, a replication effort, or an institutional board as a faithful, verifiable record.
Reproducibility you do not have to remember
The shift is subtle but important: reproducibility stops depending on how diligently someone documented the work afterward. It is captured by construction, while the research runs. For a lab that lives and dies by peer review, that is the difference between a methodology you hope holds up and one you can hand over and let anyone check.
Good research has always had to be reproducible. The hard part was never the principle. It was capturing the record faithfully enough to prove it. That is the part that no longer has to depend on memory.